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Propose a high-level design for a service discovery system that can handle millions of requests in a dynamic environment.

How would you create a set of 1000 data points following a normal distribution with given mean and variance in R, analyze the descriptive statistics, and visualize with a density plot? Then, could you perform the same operations in Python on Codility's code editor?

How would you design an algorithm to compute the length of a sorted list that includes -1 for out-of-range numbers, without using any built-ins?

How confident are you in your ability to write Python code that generates the Fibonacci sequence? Can you walk us through your approach?

Do you know what words are blanagrams from dormitory and dirty room?

Precision and recall are two common metrics used to evaluate the performance of classification models. Can you explain what they measure and how they are calculated? Also, discuss some situations where these metrics may not be suitable for assessing model accuracy.

Design a system for real-time processing of Zalando transactions.

How would you create a KNN classifier from scratch?

Explain false positives and false negatives in statistical hypothesis testing, and indicate why it's critical to understand them.

Design a system for managing a distributed data replication system.